摘要
从传感器所反映的道路交通信息价值出发,给出基于信息度的宏观交通状态描述方法,提出传感器信息度函数,描述交通传感器信息的空间分布特征。探讨交通传感器信息的信息价值并给出标定模型,在此基础上提出基于交通事件的传感器组网要解决的问题和组网目标,建立基于综合信息价值最大的动态组网优化模型,给出动态组网模型的求解方法和实施步骤,最后通过实例对本方法进行验证。研究结果表明:实例中,当选择12个传感器组网时,可得到传感器单位时间最大综合价值为553.442元/h,达到组网的最优结果。本模型能够实现基于交通事件的动态组网,并能够给出满意的组网结果。
The spatial distribution characteristics of traffic information were given and the sensor information value was put forward. Then the sensor networking problems were solved and the networking optimization objectives were formulated according to physical distributions of traffic sensors. An approach for optimal dynamic networking of traffic sensors was proposed based on the spatial distribution characteristics and the value of traffic information. An application example indicates the procedure is realized and proves the effectiveness of the approach proposed. The results suggest that when 12 sensors are selected for networking, the maximum integrated value is 553.442 yuan/h and the optimal networking result is obtained. The model can realize the dynamic networking of traffic sensors and can obtain the reasonable networking effect.
出处
《中南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2012年第3期1192-1197,共6页
Journal of Central South University:Science and Technology
基金
国家自然科学基金资助项目(61104164)
北京市科技计划项目(D101106049710005)
北京交通大学轨道交通控制与安全国家重点实验室项目(RCS2010ZT004)
关键词
城市道路交通
传感器网络
信息价值
动态组网
优化模型
urban road traffic
sensor network
information value
dynamic network
optimization model